badf {MultipleBubbles} | R Documentation |
Backward Augmented Dickey-Fuller Sequence.
Description
In this program, we calculate critical value sequences for the backward ADF statistic sequence for a matrix generated from a standard Normal distribution.
Usage
badf(m, t, adflag = 0, mflag = 1)
Arguments
m |
Number of Monte Carlo replications. Must be bigger than 2. |
t |
Sample size. Must be bigger than 2. |
adflag |
Number of lags to be included in the ADF Test. Default equals 0. |
mflag |
1 for ADF with constant and whithout trend, 2 for ADF with constant and trend and 3 for ADF without constant and trend. |
References
Phillips, P.C. & Shi, S. & Yu, J. (2015a). "Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500". SSRN Electronic Journal.
Examples
foo <- badf(m = 100, t = 50, adflag = 1, mflag = 1)
plot(foo$quantiles[2,], type = 'l')
[Package MultipleBubbles version 0.2.0 Index]